Targeted internal tools, workflow automation, and applied models. Built by senior engineers in tight loops, scoped against a single user. Two pilots become one product. We don't ship lab toys — everything we build runs in the work.
Small, sharp web apps for specific operating problems — dispatch boards, intake forms, broker desks, ops dashboards. Built on Retool, Next.js, or Phoenix, owned by you on day one.
Automating documents, intake, triage, summarisation. We scope to the document, not the model — then pick the smallest model that hits the bar. Most pilots run on Claude or GPT-4-class, fine-tuned where it matters.
Routing, scoring, classification — when the problem is statistical. We start with a baseline, instrument the production path, and only train if the data earns it.
Two-week proof-of-build. One screen, one user, real data. End-of-pilot decision: invest, kill, or pass to a different team. No theatre — just whether the thing works.
Every build has a named operator — the person who'll actually use it. If we can't name them, we don't ship. Reduces feature drift to zero.
The pilot runs against the real database, in a real environment, behind a real auth wall. No "demo data" — the loop is too short for that.
Code in your repo, infra in your account, secrets in your vault. We work in your house. If we leave, you keep the work, the tests, and the run-book.
Two-week pilot for a 3PL dispatch desk. Replace a 60-tab spreadsheet with a routing model that scores by drive-time, vehicle capacity, and customer SLA. Pilot ran against a six-month route history. One dispatcher in the loop. Production-shaped from the start — auth, audit log, rollback.
Two weeks · one engineer · one analyst